JETT (Jurnal Elektro dan Telekomunikasi Terapan)
Vol 8 No 2 (2021): JETT Desember 2021

PENGENALAN WAJAH BERBASIS ESP32-CAM UNTUK SISTEM KUNCI SEPEDA MOTOR

Audianto Putra Malangi Susilo (Unknown)
Denny Darlis (Universitas Telkom)
Dwi Andi Nurmantris (Universitas Telkom)



Article Info

Publish Date
29 Dec 2021

Abstract

In recent years, cases of motor vehicle theft that occurred in Indonesia, especially in metropolitan cities, are indicated by a high crime rate. Various efforts have been made to suppress this curanmor number for example by using a keyless system on motors used in high-end motors. The need for this system is increasing along with the vigilance of motorcycle owners for the safety of their personal vehicles. Facial recognition-based motor keys using the ESP32-CAM module are designed as an alternative to the safety system on motorcycles equipped with relays as switches to disconnect and connect the motorcycle's electricity. The working system designed on this tool uses facial recognition technology that can distinguish the face of the owner of the motorcycle from the one that is not so that the listed and recognized face will connect and disconnect the electrical current of the motorcycle so that the motorcycle can be started and vice versa. From the implementation and testing process with 40 trials, the tool can distinguish the face of the owner of the motor with the face that is not the owner of the motor as much as 80% for the correct condition and 17.5% for the wrong condition.

Copyrights © 2021






Journal Info

Abbrev

jett

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering Engineering

Description

JETT is a scientific journal published by Telkom University Bandung, Fully supported by Diploma of Telecommunication Engineering and became the scientific media for researchers and lecturers who will publish the results of their research. The aim of the Journal is to facilitate scientific ...